Results 51 to 60 of about 36,176 (157)

The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies.

open access: yesPLoS ONE, 2021
This paper provides a thorough overview and further clarification surrounding the volatility behavior of the major six cryptocurrencies (Bitcoin, Ripple, Litecoin, Monero, Dash and Dogecoin) with respect to world currencies (Euro, British Pound, Canadian
Viviane Naimy   +3 more
doaj   +1 more source

Empirical Research on VAR Model Based on GJR-GARCH, EVT and Copula [PDF]

open access: yesScience Journal of Applied Mathematics and Statistics, 2015
In this paper, we establish GJR-GARCH models to extract the residuals of logarithmic returns of two index--- New York stock exchange composite index (NYA) and NASDAQ. and estimate the distribution function of the residuals utilizing Gaussian kernel method and Extreme Value Theory.
openaire   +1 more source

Forecasting the Volatility of Real Residential Property Prices in Malaysia: A Comparison of Garch Models

open access: yesReal Estate Management and Valuation, 2023
The presence of volatility in residential property market prices helps investors generate substantial profit while also causing fear among investors since high volatility implies a high return with a high risk.
Suleiman Ahmad Abubakar   +6 more
doaj   +1 more source

RETRACTED: On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model

open access: yesEnergy Economics, 2019
Energy commodities and precious metals differ from other trading products. Both oil and gold prices are leading economic variables, and drive the evolution of the world economy.
Rihab Bedoui   +3 more
semanticscholar   +1 more source

Study on Financial Market Risk Measurement Based on GJR-GARCH and FHS [PDF]

open access: yesScience Journal of Applied Mathematics and Statistics, 2015
In this paper, we establish GJR-GARCH models to extract the residuals of logarithmic returns of one kind of Chinese stock index--- Shanghai Composite Index and the series of independent and identically distribution standardized residuals is formed from the filtered model residuals and conditional volatilities from the return series with an GJR-GARCH ...
openaire   +1 more source

An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange

open access: yesBusiness Systems Research, 2013
Background: In light of the latest global financial crisis and the ongoing sovereign debt crisis, accurate measuring of market losses has become a very current issue. One of the most popular risk measures is Value-at-Risk (VaR). Objectives: Our paper has
Bucevska Vesna
doaj   +1 more source

Comparing GARCH Models by Introducing Fuzzy Asymmetric Realized GARCH [PDF]

open access: yesمدلسازی اقتصادسنجی, 2018
Estimation of conditional variance has lots of application reflecting economic, especially financial economics, social economics and political economics’ risk and volatility research.
Esmaiel Abounoori, Mohammad Amin Zabol
doaj   +1 more source

Forecasting Malaysian gold using a hybrid of ARIMA and GJR-GARCH models

open access: yesApplied Mathematical Sciences, 2015
An effective way to improve forecast accuracy is to use a hybrid model. This paper proposes a hybrid model of linear autoregressive moving average (ARIMA) and non-linear GJR-GARCH model also known as TARCH in modeling and forecasting Malaysian gold.
Ahmad, Maizah Hura   +3 more
openaire   +2 more sources

Examining the determinants of global and local price passthrough in cereal markets: evidence from DCC-GJR-GARCH and panel analyses

open access: yes, 2020
Existing literature has not yet identified the common determinants of price volatility transmission in agricultural commodities from international to local markets and has rarely investigated the role of self-sufficiency measures in the context of ...
Jin Guo, Tetsuji Tanaka
semanticscholar   +1 more source

Application of Copula Models in Stock Market Analysis

open access: yesInformatika
Objectives. The objective of the study is to use copula models to analyze shares of the Russian stock market and describe changes in the relationship between the shares before and during the coronavirus infection (COVID-19).Methods.
A. M. Kendys, M. M. Troush
doaj   +1 more source

Home - About - Disclaimer - Privacy